ACM Home Page
Please provide us with feedback. Feedback
Exploring the urban environment with a camera phone: lessons from a user study
Full text PdfPdf (100 KB)
Source
ACM International Conference Proceeding Series archive
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services table of contents
Bonn, Germany
POSTER SESSION: Posters table of contents
Article No. 67  
Year of Publication: 2009
ISBN:978-1-60558-281-8
Authors
Norman Höller  CURE-Center for Usability Research and Engineering, Vienna
Arjan Geven  CURE-Center for Usability Research and Engineering, Vienna
Manfred Tscheligi  CURE-Center for Usability Research and Engineering, Vienna
Lucas Paletta  Joanneum Research, Steyrergasse, Graz
Katrin Amlacher  Joanneum Research, Steyrergasse, Graz
Patrik Luley  Joanneum Research, Steyrergasse, Graz
Dusan Omercevic  University of Ljubljana, Ljubljana
Sponsors
SIGCHI : Specialist Interest Group in Computer-Human Interaction of the ACM
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 21,   Downloads (12 Months): 27,   Citation Count: 0
Additional Information:

abstract   references   index terms  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1613858.1613939
What is a DOI?

ABSTRACT

We present a study investigating two novel mobile services supporting querying for information in the urban environment using camera equipped smart phones as well as two different ways to visualize results -- icon-based visualization and text-based visualization. Both applications enable the user to access information about an object by snapping a photo of it. We investigate how users would use a photo-based tourist guide in a free exploration setting in general as well as the acceptance/preference of two different ways to visualize results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Amlacher, K. and Paletta, L., (2008). An Attentive Machine Interface Using Geo-Contextual Awareness for Mobile Vision Tasks, Proc. European Conference on Artificial Intelligence, ECAI 2008, pp. 601--605.
 
2
Cuellar G., Eckles D. and Spasojevic M. (2008). Photos for Information: A Field Study of Cameraphone Computer Vision Interactions in Tourism. Proc. CHI 2008.
 
3
Lowe, D. G. (2004). Distinctive image features from scaleinvariant keypoints. IJCV 60(2), pp. 91--110.
 
4
Schmid, C. and Mohr, R. (1997). Local gray-value invariants for image retrieval. IEEE PAMI 19(5), pp. 530--535.
 
5
Shao, H., Svoboda, T., and van Gool, L. (2003). HPAT indexing for fast object/scene recognition based on local appearance. Proc. International Conference on Image and Video Retrieval, CIVR 2003, pp. 71--80.
 
6
Yeh, T., Tollmar, K., and Darrell, T. (2004). Searching the web with mobile images for location recognition. Proc. IEEE Computer Vision and Pattern Recognition, CVPR 2004, pp. 76